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ML Researcher, Prof. at UT Dallas & Director @ CARAML Lab, Ex Microsoft, PhD from UW, BTech IITB
I am excited in making machines assist humans in processing and understanding massive amounts of data. I am interested in building intelligent systems that organize, analyze, and summarize massive amounts of data, and also automatically learn from this. I have worked on a number of machine learning applications in multiple domains including image, videos, text/NLP, search and computational advertisements. I am interested in many machine learning including efficient and robust machine learning, learning with fewer data points and less labels, robust learning in the presence of adversarial examples, noisy and covariate shift, data summarization, image and video classification, and information retrieval. I received my Ph.D. from the University of Washington, Seattle in 2015. I have worked on machine learning from both an empirical, and algorithmic perspective. My work on machine learning has received best paper awards at top ML conferences like NIPS and ICML. I also won the Microsoft and Facebook Fellowships in 2014, and the Yang Outstanding Doctoral Student Award from my department. Web: https://www.rishiyer.com/ Twitter: https://twitter.com/rishiyer
University of Washington
Ph.D, Machine Learning
January 1, 2011 – January 1, 2015
University of Washington
Master of Science (M.S.), Machine Learning
January 1, 2011 – January 1, 2013
Indian Institute of Technology, Bombay
B.Tech, Electrical Engineering
January 1, 2007 – January 1, 2011
AVAWATZ
AI Research Director
January 1, 2022 – Present
Dallas, Texas, United States
Indian Institute of Technology, Bombay
Visiting Assistant Professor
August 1, 2020 – January 1, 2024
Bombay
The University of Texas at Dallas
Assistant Professor
January 1, 2020 – Present
Dallas/Fort Worth Area
Microsoft
Senior ML Scientist
August 1, 2019 – January 1, 2020
Microsoft
ML Scientist
March 1, 2016 – August 1, 2019
University of Washington
Postdoctoral Researcher
June 1, 2015 – February 1, 2016
Greater Seattle Area
Microsoft Research
Research Intern
June 1, 2014 – September 1, 2014
Redmond
Microsoft Research
Research Intern
June 1, 2012 – September 1, 2012
Redmond, WA
University of Washington
Graduate student, Research Assistant
July 1, 2011 – June 1, 2015
Greater Seattle Area
Simon Fraser University
Research Assistant
May 1, 2010 – July 1, 2010
Vancouver, Canada Area
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and advanced AI/ML engineering. While highly technical, the target role of 'Data Analyst' might not fully leverage their deep research expertise. Their diverse experience across academia and industry (Microsoft) shows adaptability, but the specific alignment with a typical data analyst role, which often involves more business intelligence, reporting, and less pure research, needs further exploration. The breadth of their ML skills is excellent, but the direct relevance to day-to-day data analyst tasks (e.g., SQL, dashboarding, specific business domain analysis) is not explicitly detailed.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical thinking, problem-solving, and independent work capabilities. Their roles as a professor and research director imply leadership potential and the ability to mentor. However, direct evidence of collaboration, stress handling, or specific communication styles in a corporate data analyst setting is not explicitly provided in the given data.